Neuro-Fuzzy-Based Adaptive Sliding Mode Control of Quadrotor UAV in the Presence of Matched and Unmatched Uncertainties
Author:
Affiliation:
1. GNC Team, Aerospace Division, Information Network Security Administration, Addis Ababa, Ethiopia
Funder
Information Network Security Administration Ethiopia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10643047.pdf?arnumber=10643047
Reference53 articles.
1. Unmanned aerial vehicles (UAVs): practical aspects, applications, open challenges, security issues, and future trends
2. Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements, and Challenges
3. Fractional order sliding mode control for the tracking problem of Quadrotor UAV under external disturbances
4. A review of quadrotor: An underactuated mechanical system
5. Neural network-based adaptive sliding mode control design for position and attitude control of a quadrotor UAV
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